The Spectacular and the Mundane: Racialised State Violence, Filipino Migrant Workers, and Their Families
Bibliographic record
Abstract
We consider two case studies—a US soldier and a domestic worker—with the objective of elaborating spectacular and mundane instances of state violence as they emerge through projects of citizenship. Focused as they are on two very different mechanisms through which the state grants citizenship—military and immigration law—the two figures diversify and proliferate our understandings of the ambiguities of inclusion and exclusion through citizenship. We consider the family as both a regulatory ideal and as a site of the lived experience of racialised citizenship. And although the family is, as Foucault noted, one of the key ‘anchoring points’ for knowledge and power in modern societies, we want to consider what is excessive to the categories of citizen or worker within the intimacy of the family to suggest that this excess offers profound challenges to existing citizenship regimes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.043 | 0.027 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".